Draft
2021/12/10 : Work in progress. Please do not translate yet as some aspects stay to polish. You may help by: reading/fixing the page, testing queries here, replacing Q21 (French) by a smaller non-western language, harmonising in-line comments, adding the right category. --Yug
Base
Code snippets
Fetch data using SPARQL
LinguaLibre data can be fetched using various coding languages such as Python, Javascript, R and others, returning JSON or other formats.
- For code snippet in your language : open query.wikidata.org (WikiData Query Service, aka WDQS), run your SPARQL query, click "Code" : a pop up window appears with various implementations.
- For downloading data, click "Download".
Javascript:
At least 3 methods exists (code snippet), example:
| Query |
Result's basic unit
|
SPARQL:
SELECT ?item WHERE { ?item prop:P2 entity:Q5 } LIMIT 10
|
{ … },
{
"item": {
"type": "uri",
"value": "https://lingualibre.org/entity/Q12"
},
"itemLabel": {
"xml:lang": "en",
"type": "literal",
"value": "beginner"
}
},
{ … }
|
Javascript:
var endpoint = 'https://lingualibre.org/sparql';
var sparql = 'SELECT ?item WHERE { ?item prop:P2 entity:Q5 } LIMIT 10';
$.getJSON(endpoint,
{ query: sparql, format: 'json' },
function(data){ console.log('JQuery: ',data)}
);
|
Merging data
Advanced SPARQL queries with COUNT() and others are often slow (>3secs, sometime >100secs). You are encouraged to do multiple smaller SPARQL queries to then merge their responded data. By example, the complementary Javascript snippet below would help web developers to do so.
// Data from 3 sparql queries.
// Important: One key must be similar in all datasets, here: 'qid'
const langs = [{ qid: 'Q209', label: 'Breton', iso:'bre' }, { qid: 'Q21', label: 'French', iso: 'fra' }],
speakersFemales = [{ qid: 'Q209', genderF: 3, recordsF: 60 }, { qid: 'Q21', genderF: 21, recordsF:15046 }],
speakersMales = [{ qid: 'Q209', genderM: 7, recordsM: 112 }, { qid: 'Q21', genderM: 85, recordsM:82964 }];
// Toolbox for merging data by same id
var merge2ArraysBySameId = function(arr1,arr2,id1){
return arr1.map( item1 => {
var identical = arr2.find(obj => obj[id1] === item1[id1]);
return Object.assign(identical, item1)
} );
}
// Mergings
var step1 = merge2ArraysBySameId(langs,speakersFemales,'qid');
var step2 = merge2ArraysBySameId(step1,speakersMales,'qid');
alert(JSON.stringify(step2))
Lingualibre's ground
✅ Is Language (Q4) → List existing languages
SELECT ?lang ?iso ?langLabel WHERE {
?lang prop:P2 entity:Q4 .
?lang prop:P13 ?iso .
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅🇶 Is Speaker (Q3) → List existing speakers
SELECT ?speaker ?speakerLabel
WHERE {
?speaker prop:P2 entity:Q3 . # Condition 1, P2 'instance of' is Q3 'speaker'.
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Is Language level (Q5) → List existing levels
SELECT ?item ?itemLabel
WHERE {
?item prop:P2 entity:Q5 # Condition 1, P2 'instance of' is Q5 'language level'.
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Is Sex or Gender (Q7) → List existing sexes or genders
SELECT ?item ?itemLabel
WHERE {
?item prop:P2 entity:Q7 # Condition 1, P2 'instance of' is Q7 'sex or gender'.
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
Speaker
✅ Speaker name(s) → Speaker Qid(s)
SELECT ?speakerName ?speakerId
WHERE {
VALUES ?speakerName { "Yug" "VIGNERON" } # One or multiple values
BIND ( STRLANG(?speakerName, "en") AS ?speakerLabel )
# P2: instance of; Q3: speaker.
?speakerId prop:P2 entity:Q3 ; rdfs:label ?speakerLabel .
}
|
|
✅🇶 Speaker Qid (Q42) → Speaker data, all
# Get Q42 (User:0x010C)'s data
SELECT ?predicate ?object ?objectLabel
WHERE {
entity:Q42 ?predicate ?object .
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅🇶 Speaker Qid (Q42) → Speaker languages (P4)
SELECT ?languages ?languagesLabel
WHERE {
entity:Q42 prop:P4 ?languages .
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Speaker Qid + language Qid → List associated audios
SELECT ?audio ?audioLabel
WHERE {
?audio prop:P5 entity:Q42 . # Condition 1, P5 Speaker is Q42 User:0x010C
?audio prop:P4 entity:Q21 . # Condition 2, P4 language is Q21 French
# Labels
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
Languages
?✅ Language's name(s) in English → Language Qid(s)
SELECT ?languageId ?languageName
WHERE {
VALUES ?languageName { "Marathi" "Atikamekw" "Central Bikol" } # Target values
?languageId
prop:P2 entity:Q4 ; # Filter: P2 'instance of' is Q4 'language' AND
rdfs:label ?languageLabel . # Assign value label into ?languageLabel
BIND ( STRLANG(?languageName, "en") AS ?languageLabel ) # Bind filter by English
}
|
|
✅ Language LL Qid (Q21) → Count items
SELECT ?language (COUNT(?audio) AS ?nbAudio) WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P4 ?language .
}
GROUP BY ?language
|
|
✅ Language LL Qid (Q21) → Count records
SELECT ?language (COUNT(?audio) AS ?audio) WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P2 entity:Q2 . # P2 'instance of' is Q2 'record'
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
}
GROUP BY ?language
|
|
?✅ Language LL Qid (Q21) → Count unique words
SELECT ?language (COUNT(?audio) AS ?Audios) (COUNT(DISTINCT(?itemLabel)) AS ?Words)
(ROUND(10000*?Words/?Audios)/100 AS ?Percent)
WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P2 entity:Q2 . # P2 'instance of' is Q2 'record'
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
?audio rdfs:label ?itemLabel. # Assign value: label to ?itemLabel
}
GROUP BY ?language
|
|
✅ Language LL Qid (Q21) → Count speakers
SELECT ?language (COUNT(?audio) AS ?audio) WHERE {
VALUES ?language { entity:Q21 }
?audio prop:P2 entity:Q3 . # P2 'instance of' is Q3 'speaker'
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
}
GROUP BY ?language
|
|
✅ Language LL Qid (Q209) → List speakers
SELECT ?language ?speaker ?speakerLabel WHERE {
VALUES ?language { entity:Q209 }
?speaker prop:P2 entity:Q3 . # P2 'instance of' is Q3 'speaker'
?speaker prop:P4 ?language . # P4 'language' is Q21 'French'
# Labels
SERVICE wikibase:label {
bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en" .
}
}
|
|
✅ Language LL Qid (Q21) + Speaker (Q42) → Count records
SELECT ?language ?speakerLabel (COUNT(?audio) AS ?audio)
WHERE {
VALUES ?language { entity:Q21 }
VALUES ?speaker { entity:Q42 }
?audio prop:P4 ?language . # P4 'language' is Q21 'French'
?audio prop:P2 entity:Q2 . # P2 'instance of' is Q2 'record'
?audio prop:P5 ?speaker . # P5 'speaker' is Q42 '0x010C'
# Labels
SERVICE wikibase:label {bd:serviceParam wikibase:language "[AUTO_LANGUAGE],en"}
}
GROUP BY ?language ?speakerLabel
|
|
✅ Languages → List existing languages' iso-639-3
SELECT * WHERE {
?lang prop:P13 ?code .
}
|
|
✅ Language's ISO-639-3 → Language LL Qid
SELECT ?langIso ?langId
WHERE {
VALUES ?langIso { "ban" "bre" } # One or multiple values
# P2 'instance of'; Q4 'language'; P13 'ISO 639-3 code'
?langId prop:P2 entity:Q4 ; prop:P13 ?langIso .
}
|
|
✅ Language's ISO-639-3 → Language Wikidata Qid
SELECT * # print all variables, synonymous to ?langId ?langIso ?langWDQid
WHERE {
VALUES ?langIso { "ban" "bre" } # One or multiple values
?langId
prop:P2 entity:Q4 ; # Filter P2 'instance of' is Q4 'language' AND
prop:P13 ?langIso ; # Assign value: P13 'Iso-639-3' to ?langIso AND
prop:P12 ?langWDQid . # Assign value: P12 'Iso-639-3' to ?langWDQid
}
|
|
✅ Language LL Qid (Q209) → Language data, all
'Case: Get for language Q209 'Breton' all its data.
SELECT * WHERE {
# Given Q209 'Breton language', get all properties and values
entity:Q209 ?predicate ?object .
}
|
|
✅ Language LL Qid (Q209) → Language data, core
'Case: Get for language Q209 'Breton' all its CORE data.
SELECT * WHERE {
# Given Q209 'Breton language', get all properties and values
entity:Q209 ?predicate ?object .
?predicate rdf:type owl:DatatypeProperty .
}
|
|
✅ Language WD Qid → Language data, core
SELECT * WHERE {
?lang prop:P12 "Q12107" . # P12 'Wikidata id' is Wikidata's "Q12107"
?lang ?predicate ?object . #
?predicate rdf:type owl:DatatypeProperty .
}
|
|
Records
✅ Item name + language → Qid(s)
SELECT ?itemLabel ?item
WHERE {
?item prop:P2 entity:Q2 . # Filter: P2 'instance of' Q3 'record'
?item rdfs:label ?itemLabel. # Assign value: label to ?itemLabel
FILTER(CONTAINS(?itemLabel, "apple"@en)).
} limit 10
|
|
Audio Qid → Audio data
✅ Language (Q209) + speaker (Q584098) + word (ni) → Audio's Qid
Case: Search in Breton language, with speaker 'ThonyVezbe',
SELECT ?audio
WHERE {
?audio prop:P4 entity:Q209 . # P4 'language' is Q209 'Breton'
?audio prop:P5 entity:Q584098 . # P5 'speaker' is Q584098 'ThonyVezbe'
?audio rdfs:label ?word . #word
FILTER ( STR(?word) = "ni" ) # word = 'ni'
}
|
|
Langue + speaker + word → Audio's Commons url pointeur (P3)
SELECT ?word ?audio ?url (STR(?url) AS ?urlStr)
WHERE {
?audio prop:P4 entity:Q209 . # P4 'language' is Q209 'Breton'
?audio prop:P5 entity:Q584098 . # P5 'speaker' is Q584098 'ThonyVezbe'
?audio rdfs:label ?word . # word
FILTER ( STR(?word) = "achantour" ) # Filter: word is 'achantour'
?audio prop:P3 ?url
}
|
|
Heavy queries
Queries below are too large to run on LinguaLibre's wikipages, or even on Lingualibre Query Service).
To do: do smaller sub-queries, with one COUNT() function.
❌ Languages → Name, Wikidata Qid, LLQid, Iso-639-3, and genders
| Query |
Result
|
SELECT ?languageQidLabel ?wdQid ?languageQid ?isoCode
(COUNT(DISTINCT(?record)) AS ?recordCount)
(COUNT(DISTINCT(?speakerLangM)) AS ?speakerM)
(COUNT(DISTINCT(?speakerLangF)) AS ?speakerF)
wWHERE{
?record prop:P2 entity:Q2 . # Filter: items where P2 'instance of' is Q2 'record'
?record prop:P4 ?languageQid . # Assign value: P4 'language' into variable ?language
?languageQid prop:P12 ?wdQid . # Assign value: P12 'wikidata id' into variable ?WD
?languageQid prop:P13 ?isoCode. # Assign value: P13 'iso639-3' into ?isoCode
#?record prop:P5 ?speakerQidM . # Assign value: P5 'speaker' into variable ?speakerQidM
#?speakerQidM prop:P8 entity:Q16 . # Filter: P8 'sex or gender' is Q16 'male
#?speakerQidM prop:P4 ?speakerLangM . # Assign value: P4 'language' into variable ?spakerLangM
?record prop:P5 ?speakerQidF . # Assign value: P5 'speaker' into variable ?speakerQidF
?speakerQidF prop:P8 entity:Q17 . # Filter: P8 'sex or gender' is Q17 'female
?speakerQidF prop:P4 ?speakerLangF . # Assign value: P4 'language' into variable ?spakerLangF
SERVICE wikibase:label { bd:serviceParam wikibase:language "en" . }
}
GROUP BY ?languageQidLabel ?languageQid ?wdQid ?isoCode
ORDER BY DESC(?recordCount)
|
languageQidLabel wdQid languageQid isoCode recordCount speakerM speakerF
French Q150 Q21 fra 16761 0 18
Marathi Q1571 Q34 mar 13153 0 5
Polish Q809 Q298 pol 11686 0 1
…
|
❌ Is Language (Q3) → list all languages with number of unique words and speakers
SELECT ?language (COUNT(?audio) AS ?nbAudio) (COUNT(?speaker) AS ?nbSpeaker) WHERE {
?language prop:P2 entity:Q4 .
?audio prop:P4 ?language .
?speaker prop:P4 ?language .
}
GROUP BY ?language
Tools
Wikidata lexemes
- You may [<tvar|hackme>https://jsfiddle.net/hugolpz/rygo9s5b/</> Hack me !]
It is possible to use Wikidata & Wiktionary to extract lexicographical information. Developer <tvar|sina_ahm>@sina_ahm</> created a SPARQL query generator, helping us to search words in both Wikidata & Dbnary. See demo there : <tvar|1>https://sinaahmadi.github.io/posts/sparql-query-generator-for-lexicographical-data.html</>
See also
